Machine Learning Ops & AI Infrastructure, Technical Referent
Tasks
- Build production ML pipelines
- Collaborate with data science and AI teams
- Contribute to infrastructure automation
- Define ML platform architecture
- Deploy and monitor models
- Design reproducible training pipelines
- Ensure model governance and security
- Implement observability and safety standards
- Lead architecture reviews
- Mentor MLOps engineers
Perks/Benefits
- Dlocal houses
- Flexible schedule
- Language classes
- Learning and development
- Remote work options
- Social budget
Skills/Tech-stack
AI Automation | Access Control | CI/CD | Cloud Platforms | Containerization | Cost Optimization | Data Access Control | Data Pipelines | Data Quality | Data access | Distributed Systems | Experiment tracking | Feature Store | Kubernetes | LLM | Logging | MLOps | Machine Learning | Metrics | Model Deployment | Model Drift | Model Registry | Monitoring | Observability | PII Redaction | Security | Traces | Vector Stores
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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